NGTM generates graphs by sampling substructures from learned topic-specific distributions and assembling them, achieving competitive quality with interpretable, controllable topics.
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NGTM: Substructure-based Neural Graph Topic Model for Interpretable Graph Generation
NGTM generates graphs by sampling substructures from learned topic-specific distributions and assembling them, achieving competitive quality with interpretable, controllable topics.